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Resilience of Complex Systems: State of the Art and Directions for Future Research

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  • Luca Fraccascia
  • Ilaria Giannoccaro
  • Vito Albino

Abstract

This paper reviews the state of the art on the resilience of complex systems by embracing different research areas and using bibliometric tools. The aim is to identify the main intellectual communities and leading scholars and to synthesize key knowledge of each research area. We also carry out a comparison across the research areas, aimed at analyzing how resilience is approached in any field, how the topic evolved starting from the ecological field of study, and the level of cross-fertilization among domains. Our analysis shows that resilience of complex systems is a multidisciplinary concept, which is particularly important in the fields of environmental science, ecology, and engineering. Areas of recent and increasing interest are also operation research, management science, business, and computer science. Except for environmental science and ecology, research is fragmented and carried out by isolated research groups. Integration is not only limited inside each field but also between research areas. In particular, we trace the citation links between different research areas and find a very limited number, revealing a scarce cross-fertilization among domains. We conclude by providing some directions for future research.

Suggested Citation

  • Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2018. "Resilience of Complex Systems: State of the Art and Directions for Future Research," Complexity, Hindawi, vol. 2018, pages 1-44, August.
    • Handle: RePEc:hin:complx:3421529
    DOI: 10.1155/2018/3421529
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    1. Vivek Anand Asokan & Masaru Yarime & Miguel Esteban, 2017. "Introducing Flexibility to Complex, Resilient Socio-Ecological Systems: A Comparative Analysis of Economics, Flexible Manufacturing Systems, Evolutionary Biology, and Supply Chain Management," Sustainability, MDPI, vol. 9(7), pages 1-17, June.
    2. Brazhnik, Ksenia & Shugart, H.H., 2016. "SIBBORK: A new spatially-explicit gap model for boreal forest," Ecological Modelling, Elsevier, vol. 320(C), pages 182-196.
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